Network-based approaches that exploit inferred transcription factor activity to analyze the impact of genetic variation on gene expression.

Over the past decade, a number of methods have emerged for inferring protein-level transcription factor activities in individual samples based on prior information about the structure of the gene regulatory network. We discuss how this has enabled new approaches for dissecting trans-acting mechanisms that underpin genetic variation in gene expression.